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Fusion 5.10
    Fusion 5.10

    Create Seldon Core Model Deployment

    Table of Contents

    Use this job to deploy a Seldon Core Model into the Fusion cluster.

    For information to deploy available Fusion Seldon models, see the:

    Configuration properties

    Deploys a Seldon Core Model into the Fusion cluster

    columnNames - string

    A list of column names that the model generates which the ML Service will return after inference.

    Default: [output1, output2]

    deployModelName - stringrequired

    The model name of the Seldon Core deployment to deploy

    <= 30 characters

    Match pattern: [a-zA-Z][\-a-zA-Z0-9]*[a-zA-Z0-9]?

    id - stringrequired

    The ID for this job. Used in the API to reference this job. Allowed characters: a-z, A-Z, dash (-) and underscore (_)

    <= 63 characters

    Match pattern: [a-zA-Z][_\-a-zA-Z0-9]*[a-zA-Z0-9]?

    modelDockerImage - stringrequired

    Name of the model's docker image

    modelDockerRepo - stringrequired

    Defines the Docker repository where the model image is located.

    modelDockerSecret - string

    Defines the Kubernetes secret to be used with the Docker repository

    modelReplicas - integer

    How many replicas of the model should be deployed by Seldon Core

    Default: 1

    sparkConfig - array[object]

    Provide additional key/value pairs to be injected into the training JSON map at runtime. Values will be inserted as-is, so use " to surround string values

    object attributes:{key required : {
     display name: Parameter Name
     type: string
    }    value : {
     display name: Parameter Value
     type: string
    }    }

    type - stringrequired

    Default: argo-deploy-model

    Allowed values: argo-deploy-model